A predicate matching algorithm for database rule systems
SIGMOD '90 Proceedings of the 1990 ACM SIGMOD international conference on Management of data
Transactional publish/subscribe: the proactive multicast of database changes (abstract)
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
Matching events in a content-based subscription system
Proceedings of the eighteenth annual ACM symposium on Principles of distributed computing
Filtering algorithms and implementation for very fast publish/subscribe systems
SIGMOD '01 Proceedings of the 2001 ACM SIGMOD international conference on Management of data
Publish/Subscribe on the Web at Extreme Speed
VLDB '00 Proceedings of the 26th International Conference on Very Large Data Bases
Efficient Matching for Web-Based Publish/Subscribe Systems
CooplS '02 Proceedings of the 7th International Conference on Cooperative Information Systems
An Efficient Multicast Protocol for Content-Based Publish-Subscribe Systems
ICDCS '99 Proceedings of the 19th IEEE International Conference on Distributed Computing Systems
Modeling location-based services with subject spaces
CASCON '03 Proceedings of the 2003 conference of the Centre for Advanced Studies on Collaborative research
eCube: hypercube event for efficient filtering in content-based routing
OTM'07 Proceedings of the 2007 OTM confederated international conference on On the move to meaningful internet systems: CoopIS, DOA, ODBASE, GADA, and IS - Volume Part II
Proceedings of the 2011 ACM SIGMOD International Conference on Management of data
Dimension transform based efficient event filtering for symmetric publish/subscribe system
DEXA'05 Proceedings of the 16th international conference on Database and Expert Systems Applications
Analysis and optimization for boolean expression indexing
ACM Transactions on Database Systems (TODS)
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Publish/subscribe and database systems researchers have recognized the importance of the event matching algorithm to the performance and scalability of a content-based subscription system. A number of interesting event matching techniques as well as DBMS solutions have been proposed in recent research work in the area. Content-based subscription systems allow information consumers to define filtering criteria when they register their interest in being notified of events that match their requirements. However, information producers are not offered the same flexibility. Moreover, content-based subscription systems require that the value of each attribute in the event schema be known at publication time. Certain types of information producers need to be given the flexibility of selecting what types of information consumers can receive their publications as well as the ability to personalize their publications at individual attribute level. This paper introduces symmetric subscription systems as an extension to content-based subscription systems which address the above issues. The paper also discusses a matching algorithm suitable for this type of publish/subscribe systems.